Welcome to Adwait's Homepage
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Adwait Jog, Ph.D. (Penn State)Assistant ProfessorDepartment of Computer ScienceCollege of William & MaryMcGlothlin-Street Hall 111Williamsburg, VA 23187
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ajog@wm.edu, About
I am an assistant professor in the Department of Computer Science
at College of William & Mary (W&M) in Virginia, USA. At W&M, I
am leading the Insight Computer Architecture Lab with
the goal to generate insights, which would help in architecting future computers that are
more energy-efficient, capable, reliable, and secure.
I am always looking for self-motivated and talented students to join my lab. We have several funded RA positions. Send me a brief email to start the conversation. All graduate admissions are formally managed by W&M CS department.
Recent News
I will be teaching a short GPU course at the computer architecture summer school organized annually by HiPEAC.
I delivered talks at the ECE departments of NCSU and GWU on memory bandwidth management techniques for performance and security. Talk slides are available here.
I delivered talks at Intel and Cisco on our recent work on GPU security.
W&M published a featured news item on my group's work and recently granted NSF CAREER Award.
Paper accepted in ASPLOS 2018.
Our newly formed Insight Computer Architecture Lab showcased two accepted papers at HPCA 2018.
We have developed new memory bandwidth management techniques for efficient and fair multi-application execution in GPUs.
We have developed new randomized coalescing mechanisms for efficiently balancing performance and security in GPUs.
Research Funding
My research group is currently supported by the following research grants:
NSF CAREER Award 2018, PI. Thanks NSF!
NSF SHF Award 2017, PI. Thanks NSF!
NSF CRII Award 2017, PI. Thanks NSF!
NVIDIA Equipment Donation. Thanks NVIDIA!
Selected Publications (complete list)
(HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management
(HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques
(ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency
(HPCA 2017) Controlled Kernel Launch for Dynamic Parallelism in GPUs
(MICRO 2016) Zorua: A Holistic Approach to Resource Virtualization in GPUs
(PACT 2016) Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities
(PACT 2016) μC-States: Fine-grained GPU Datapath Power Management
(SIGMETRICS 2016) Exploiting Core Criticality for Enhanced GPU Performance
(MICRO 2014) Managing GPU Concurrency in Heterogeneous Architectures
(PACT 2014) Trading Cache Hit Rate for Memory Performance
(PACT 2013) Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs
(ISCA 2013) Orchestrated Scheduling and Prefetching for GPGPUs
(ASPLOS 2013) OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU performance
(DAC 2012) Cache Revive: Architecting Volatile STT-RAM Caches for Enhanced Performance in CMPs
Teaching (complete list)
I will be teaching CSCI 424: Computer Architecture in Fall 2018
Program and Organization Committees (complete list)
Publicity Chair, CGO 2019
Invited to be on the Program Committees of ICCD 2018, SBAC-PAD 2018, IISWC 2018, NAS 2018, HPCA 2019 (ERC). Submit your best work!
Local Arrangements Chair, ASPLOS 2018
Outreach
Co-organized second version of the workshop on minimizing data movement (Min-Move). It was co-located with ASPLOS 2018.The workshop was a great success.
Delivered a talk titled Computer Science: Myths, Challenges, and Opportunties to high school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M.
Co-organized a workshop on minimizing data movement (Min-Move 2017) co-located with PACT 2017. The workshop was a great success.
Delivered as a talk on Career Opportunities in CS to middle school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M.